A simple FASTQ reader / toolbox for small to medium size projects without dependencies.
Project description
A simple FASTQ toolbox for small to medium size projects without strange dependencies.
FASTQ files are text-based files for storing nucleotide sequences and its corresponding quality scores. Reading such files is not particularly difficult, yet most off the shelf packages are overloaded with strange dependencies.
fastq offers an alternative to this and brings many useful functions without relying on third party packages.
Installation
Using pip / pip3:
pip install fastq
Or by source:
git clone git@github.com:not-a-feature/fastq.git
cd fastq
pip install .
How to use
fastq offers easy to use functions for fastq handling. The main parts are:
- read()
- write()
- fastq_object()
- head
- body
- qstr
- info
- toFasta()
- len() / str() / eq()
Reading FASTQ files
read()
is a fastq reader which is able to handle compressed and non-compressed files.
Following compressions are supported: zip, tar, tar.gz, gz. If multiple files are stored inside an archive, all files are read.
This function returns a iterator of fastq_objects.
import fastq as fq
fos = fq.read("dolphin.fastq") # Iterator of fastq entries.
fos = list(fos) # Cast to list
fos = fq.read("reads.tar.gz") # Is able to handle compressed files.
fastq_object()
The core component of fastq is the fastq_object()
.
This object represents an FASTQ entry and consists of a head and body.
import fastq as fq
fo = fq.fastq_object("@M01967:23:0", "GATTTGGGG", "!''*((((*")
fo.getHead() or fo.head # @M01967:23:0
fo.getSeq() or fo.body # GATTTGGGG
fo.getQual() or fo.qstr # !''*((((*
When fastq_object(..).info
is requested, some summary statistics are computed and returned as dict.
This computation is "lazy". I.e. the first query takes longer than the second.
If the body or qstr is changed, info is automatically reset.
fo.getInfo() or fo.info
{'a_num': 1, 'g_num': 5, # Absolute counts of AGTC
't_num': 3, 'c_num': 0, #
'gc_content': 0.5555555555555556, # Relative GC content
'at_content': 0.4444444444444444, # Relative AT content
'qual': 6.444444444444445, # Mean quality (Illumina Encoding)
'qual_median': 7, # Median quality
'qual_variance': 7.027777777777778, # Variance of quality
'qual_min': 0, 'qual_max': 9} # Min / Max quality
Following methods are defined on a fastq_object()
:
str(fo) # will return:
# @M01967:23:0
# GATTTGGGG
# +
# !''*((((*
# Body length
len(fo) # will return 10, the length of the body
# Equality
# Checks only the body, not the header and not the quality string
print(fo == fo) # True
fo_b = fq.fastq_object("@different header", "GATTTGGGG", "!!!!!!!!!")
print(fo == fo_b) # True
fo_c = fq..fastq_object(">Different Body", "ZZZZ", "!--!")
print(fo == fo_c) # False
Writing FASTQ files
write()
is a basic fastq writer.
It takes a single or a list of fastq_objects and writes it to the given path.
The file is usually overwritten. Set write(fo, "path.fastq", mode="a")
to append file.
fos = fq.read("dolphin.fastq") # Iterator of fastq entries
fos = list(fos)
fq.write(fos, "new.fastq")
License
Copyright (C) 2024 by Jules Kreuer - @not_a_feature
This piece of software is published unter the GNU General Public License v3.0 TLDR:
Permissions | Conditions | Limitations |
---|---|---|
✓ Commercial use | Disclose source | ✕ Liability |
✓ Distribution | License and copyright notice | ✕ Warranty |
✓ Modification | Same license | |
✓ Patent use | State changes | |
✓ Private use |
Go to LICENSE.md to see the full version.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file fastq-2.0.4.tar.gz
.
File metadata
- Download URL: fastq-2.0.4.tar.gz
- Upload date:
- Size: 21.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.18
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b64b3041045b0220483571564ee9ee43ba2a2fb6e5df5eb2dbcbaf5e68b3ebad |
|
MD5 | 44abd1bd48142067886c6b1d238cce04 |
|
BLAKE2b-256 | c930fce26cb88a55f3eacf22f644aa8051afb4781929ee4031f30dab9756148d |
File details
Details for the file fastq-2.0.4-py3-none-any.whl
.
File metadata
- Download URL: fastq-2.0.4-py3-none-any.whl
- Upload date:
- Size: 18.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.18
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cc1199c4473152621ea64839c80abf16ace0bd14b3bbc17162e307d2215c583c |
|
MD5 | 56c4f1803fb9bb7a73a8aa62e5abc47b |
|
BLAKE2b-256 | 5982e3e7bbcdabb85af04fa2bd1f894b3dd31c028fb317828f76c77e8af35cb4 |